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Adjusting σtissue thus provided an estimation of the conductivity of the neural tissue.
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A comparative analysis of the conductivity of the scaffolds shows that carbon nanofibers strongly improved the electrical conductivity (Table 1).
Estimation of the specific conductivity as the value of σ* at f → 0 (using the plot of σ* vs. logf) (Table 3) shows an increase in the conductivity with increasing temperature of char activation from 800 to 1000 °C because of the ordering of carbon sheets and a decrease in the content of O- and H-containing functionalities discussed above.
EMT has been developed for the estimation of the overall conductivity of a multiphase material originally, however, this can be applied to variety of situations in disordered or random networks.
Comparison of predictive capability of the proposed technique with some recommended correlations in the literatures confirmed that the ANN model is more superior to other published works and therefore can be considered as a practical tool for estimation of the thermal conductivity ratio of alumina water-based nanofluids.
However, estimation of the skull conductivity has been reported to be more inconsistent with values ranging between 0.006 and 0.080 S/m (Hoekema et al. 2003).
A close agreement between the experimentally and numerically estimated thermal conductivities is observed, validating the technique and establishing the possibility of use of a full scale numerical model as an alternate and standalone approach for estimation of thermal conductivities of structured integral composites.
In the case of thermal conductivity, estimation of the dependence of this property on temperature was obtained using the inverse parameter estimation method, taking as a reference temperature and emissivity measurements.
The conductivity of water was first determined in 1839; the conductivity of gases was not measured until after 1860.
The conductivity measured is the conductivity of the cation.
The normalized conductivity is the ratio of bulk conductivity to the conductivity of a pore fluid.
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